Sr Cloud Engineer - IT Data Analytics and Business Intelligence 4600 - Remote | WFH

This job was posted over 30 days ago, so it has most likely closed. See newer jobs like it.

Written by AI from the job title and company, not by Get It Recruit - Information Technology, so some details may not match this job. The employer's own page has the real description.

Job Overview

The Senior Cloud Engineer specializing in IT Data Analytics and Business Intelligence at Get It Recruit is responsible for architecting, implementing, and managing cloud-based data analytics solutions. This role involves leveraging advanced cloud technologies to enhance data processing and analytics capabilities, ensuring optimal performance and security of data environments. The ideal candidate will work collaboratively with cross-functional teams to design and deliver solutions that drive business intelligence initiatives, enabling data-driven decisions across the organization.

Job Responsibilities

• Design, implement, and maintain cloud-based data analytics frameworks and architectures.
• Develop data pipelines and ETL processes to ensure efficient data flow and transformation.
• Collaborate with data scientists and analysts to introduce machine learning models and advanced analytics capabilities.
• Monitor cloud infrastructure for performance, security, and cost-efficiency, making necessary adjustments as needed.
• Conduct routine data analysis to inform strategic business decisions and operational improvements.
• Provide technical leadership and mentorship to junior staff and team members.
• Document architectural designs, data schemas, and operational procedures for systems used.
• Stay updated with emerging cloud technologies and data analytic trends to continually improve current processes.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field; Master's degree preferred.
• 5+ years of experience in cloud engineering, particularly with data analytics and business intelligence.
• Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Strong understanding of data warehousing concepts, data modeling, and ETL design.
• Proficiency in programming languages such as Python, SQL, or Java.
• Experience with BI tools like Tableau, Power BI, or similar platforms.
• Excellent problem-solving skills and the ability to work independently and in a team environment.
• Strong communication skills, capable of collaborating with both technical and non-technical personnel.

Technologies & Tools

The Senior Cloud Engineer will utilize a range of technologies and tools, including cloud services (AWS, Azure, Google Cloud), data processing frameworks (Apache Spark, Apache Kafka), visualization tools (Tableau, Power BI), as well as databases (SQL Server, PostgreSQL, MongoDB). Familiarity with container orchestration technologies like Docker and Kubernetes will also be essential for ensuring scalable deployments.

Ideal Candidates

The ideal candidates for this role are analytical thinkers who possess a strong affinity for technology and data analytics. They should demonstrate excellent organizational skills and the ability to manage multiple projects with competing deadlines effectively. A collaborative mindset, alongside a proactive approach to problem-solving and the drive to stay current with industry trends and advancements in cloud technology, are key characteristics that will lead to success in this position.